Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	2175
Missing cells	8049
Missing cells (%)	24.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	255.0 KiB
Average record size in memory	120.1 B

Variable types

Categorical	6
Numeric	9

Warnings

`country` has a high cardinality: 78 distinct values	High cardinality
`iso_code` has a high cardinality: 73 distinct values	High cardinality
`date` has a high cardinality: 53 distinct values	High cardinality
`source_website` has a high cardinality: 74 distinct values	High cardinality
`total_vaccinations` is highly correlated with `people_vaccinated` and 3 other fields	High correlation
`people_vaccinated` is highly correlated with `total_vaccinations` and 3 other fields	High correlation
`people_fully_vaccinated` is highly correlated with `total_vaccinations` and 2 other fields	High correlation
`daily_vaccinations_raw` is highly correlated with `total_vaccinations` and 2 other fields	High correlation
`daily_vaccinations` is highly correlated with `total_vaccinations` and 3 other fields	High correlation
`total_vaccinations_per_hundred` is highly correlated with `people_vaccinated_per_hundred`	High correlation
`people_vaccinated_per_hundred` is highly correlated with `total_vaccinations_per_hundred`	High correlation
`source_name` is highly correlated with `source_website` and 2 other fields	High correlation
`source_website` is highly correlated with `source_name` and 3 other fields	High correlation
`country` is highly correlated with `source_name` and 3 other fields	High correlation
`iso_code` is highly correlated with `source_name` and 3 other fields	High correlation
`vaccines` is highly correlated with `source_website` and 2 other fields	High correlation
`iso_code` has 210 (9.7%) missing values	Missing
`total_vaccinations` has 738 (33.9%) missing values	Missing
`people_vaccinated` has 1047 (48.1%) missing values	Missing
`people_fully_vaccinated` has 1553 (71.4%) missing values	Missing
`daily_vaccinations_raw` has 1007 (46.3%) missing values	Missing
`daily_vaccinations` has 78 (3.6%) missing values	Missing
`total_vaccinations_per_hundred` has 738 (33.9%) missing values	Missing
`people_vaccinated_per_hundred` has 1047 (48.1%) missing values	Missing
`people_fully_vaccinated_per_hundred` has 1553 (71.4%) missing values	Missing
`daily_vaccinations_per_million` has 78 (3.6%) missing values	Missing
`total_vaccinations_per_hundred` has 48 (2.2%) zeros	Zeros
`people_vaccinated_per_hundred` has 25 (1.1%) zeros	Zeros
`people_fully_vaccinated_per_hundred` has 39 (1.8%) zeros	Zeros

Reproduction

Analysis started	2021-02-05 19:19:54.297799
Analysis finished	2021-02-05 19:20:08.204534
Duration	13.91 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

country
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	78
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	17.1 KiB

Northern Ireland	52
Wales	52
Scotland	52
China	48
Canada	47
Other values (73)	1924

Length

Max length	20
Median length	7
Mean length	7.740229885
Min length	4

Characters and Unicode

Total characters	16835
Distinct characters	46
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.3%

Sample

1st row	Algeria
2nd row	Algeria
3rd row	Andorra
4th row	Andorra
5th row	Andorra

Value	Count	Frequency (%)
Northern Ireland	52	2.4%
Wales	52	2.4%
Scotland	52	2.4%
China	48	2.2%
Canada	47	2.2%
Israel	47	2.2%
United States	46	2.1%
United Kingdom	45	2.1%
England	45	2.1%
Bahrain	43	2.0%
Other values (68)	1698	78.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
united	121	4.9%
ireland	84	3.4%
northern	61	2.4%
wales	52	2.1%
scotland	52	2.1%
china	48	1.9%
israel	47	1.9%
canada	47	1.9%
states	46	1.8%
kingdom	45	1.8%
Other values (76)	1889	75.8%

Most occurring characters

Value	Count	Frequency (%)
a	2375	14.1%
n	1441	8.6%
e	1373	8.2%
i	1251	7.4%
r	1131	6.7%
l	875	5.2%
t	855	5.1%
d	728	4.3%
o	708	4.2%
s	469	2.8%
Other values (36)	5629	33.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14040	83.4%
Uppercase Letter	2478	14.7%
Space Separator	317	1.9%

Most frequent character per category

Value	Count	Frequency (%)
a	2375	16.9%
n	1441	10.3%
e	1373	9.8%
i	1251	8.9%
r	1131	8.1%
l	875	6.2%
t	855	6.1%
d	728	5.2%
o	708	5.0%
s	469	3.3%
Other values (14)	2834	20.2%

Value	Count	Frequency (%)
S	383	15.5%
C	286	11.5%
I	265	10.7%
B	163	6.6%
N	135	5.4%
A	129	5.2%
E	128	5.2%
M	125	5.0%
U	121	4.9%
L	119	4.8%
Other values (11)	624	25.2%

Value	Count	Frequency (%)
	317	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16518	98.1%
Common	317	1.9%

Most frequent character per script

Value	Count	Frequency (%)
a	2375	14.4%
n	1441	8.7%
e	1373	8.3%
i	1251	7.6%
r	1131	6.8%
l	875	5.3%
t	855	5.2%
d	728	4.4%
o	708	4.3%
s	469	2.8%
Other values (35)	5312	32.2%

Value	Count	Frequency (%)
	317	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16835	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	2375	14.1%
n	1441	8.6%
e	1373	8.2%
i	1251	7.4%
r	1131	6.7%
l	875	5.2%
t	855	5.1%
d	728	4.3%
o	708	4.2%
s	469	2.8%
Other values (36)	5629	33.4%

iso_code
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	73
Distinct (%)	3.7%
Missing	210
Missing (%)	9.7%
Memory size	17.1 KiB

CHN	48
ISR	47
CAN	47
USA	46
GBR	45
Other values (68)	1732

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5895
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.3%

Sample

1st row	DZA
2nd row	DZA
3rd row	AND
4th row	AND
5th row	AND

Value	Count	Frequency (%)
CHN	48	2.2%
ISR	47	2.2%
CAN	47	2.2%
USA	46	2.1%
GBR	45	2.1%
BHR	43	2.0%
CHL	42	1.9%
MEX	42	1.9%
CHE	40	1.8%
CRI	40	1.8%
Other values (63)	1525	70.1%
(Missing)	210	9.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
chn	48	2.4%
can	47	2.4%
isr	47	2.4%
usa	46	2.3%
gbr	45	2.3%
bhr	43	2.2%
mex	42	2.1%
chl	42	2.1%
che	40	2.0%
cri	40	2.0%
Other values (63)	1525	77.6%

Most occurring characters

Value	Count	Frequency (%)
R	646	11.0%
S	435	7.4%
N	423	7.2%
L	378	6.4%
A	376	6.4%
U	370	6.3%
C	368	6.2%
E	349	5.9%
I	310	5.3%
T	269	4.6%
Other values (15)	1971	33.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5895	100.0%

Most frequent character per category

Value	Count	Frequency (%)
R	646	11.0%
S	435	7.4%
N	423	7.2%
L	378	6.4%
A	376	6.4%
U	370	6.3%
C	368	6.2%
E	349	5.9%
I	310	5.3%
T	269	4.6%
Other values (15)	1971	33.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5895	100.0%

Most frequent character per script

Value	Count	Frequency (%)
R	646	11.0%
S	435	7.4%
N	423	7.2%
L	378	6.4%
A	376	6.4%
U	370	6.3%
C	368	6.2%
E	349	5.9%
I	310	5.3%
T	269	4.6%
Other values (15)	1971	33.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5895	100.0%

Most frequent character per block

Value	Count	Frequency (%)
R	646	11.0%
S	435	7.4%
N	423	7.2%
L	378	6.4%
A	376	6.4%
U	370	6.3%
C	368	6.2%
E	349	5.9%
I	310	5.3%
T	269	4.6%
Other values (15)	1971	33.4%

date
Categorical

HIGH CARDINALITY

Distinct	53
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	17.1 KiB

2021-01-27	64
2021-01-26	64
2021-01-29	63
2021-01-28	63
2021-01-24	63
Other values (48)	1858

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	21750
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021-01-29
2nd row	2021-01-30
3rd row	2021-01-25
4th row	2021-01-26
5th row	2021-01-27

Value	Count	Frequency (%)
2021-01-27	64	2.9%
2021-01-26	64	2.9%
2021-01-29	63	2.9%
2021-01-28	63	2.9%
2021-01-24	63	2.9%
2021-01-22	61	2.8%
2021-01-25	61	2.8%
2021-01-21	61	2.8%
2021-01-23	60	2.8%
2021-01-30	60	2.8%
Other values (43)	1555	71.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-01-27	64	2.9%
2021-01-26	64	2.9%
2021-01-29	63	2.9%
2021-01-28	63	2.9%
2021-01-24	63	2.9%
2021-01-22	61	2.8%
2021-01-25	61	2.8%
2021-01-21	61	2.8%
2021-01-23	60	2.8%
2021-01-30	60	2.8%
Other values (43)	1555	71.5%

Most occurring characters

Value	Count	Frequency (%)
2	5820	26.8%
0	5136	23.6%
1	4838	22.2%
-	4350	20.0%
3	414	1.9%
9	217	1.0%
8	212	1.0%
7	201	0.9%
6	194	0.9%
5	185	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17400	80.0%
Dash Punctuation	4350	20.0%

Most frequent character per category

Value	Count	Frequency (%)
2	5820	33.4%
0	5136	29.5%
1	4838	27.8%
3	414	2.4%
9	217	1.2%
8	212	1.2%
7	201	1.2%
6	194	1.1%
5	185	1.1%
4	183	1.1%

Value	Count	Frequency (%)
-	4350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21750	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	5820	26.8%
0	5136	23.6%
1	4838	22.2%
-	4350	20.0%
3	414	1.9%
9	217	1.0%
8	212	1.0%
7	201	0.9%
6	194	0.9%
5	185	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21750	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	5820	26.8%
0	5136	23.6%
1	4838	22.2%
-	4350	20.0%
3	414	1.9%
9	217	1.0%
8	212	1.0%
7	201	0.9%
6	194	0.9%
5	185	0.9%

total_vaccinations
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1403
Distinct (%)	97.6%
Missing	738
Missing (%)	33.9%
Infinite	0
Infinite (%)	0.0%

Mean	960177.2846
Minimum	0
Maximum	33878254
Zeros	21
Zeros (%)	1.0%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1715.4
Q1	21169
median	112213
Q3	495164
95-th percentile	4374347.2
Maximum	33878254
Range	33878254
Interquartile range (IQR)	473995

Descriptive statistics

Standard deviation	3134586.609
Coefficient of variation (CV)	3.264591507
Kurtosis	52.68255573
Mean	960177.2846
Median Absolute Deviation (MAD)	105204
Skewness	6.690929966
Sum	1379774758
Variance	9.825633207 × 10¹²
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	21	1.0%
2174	3	0.1%
100000	2	0.1%
12866	2	0.1%
5847	2	0.1%
7017	2	0.1%
15000	2	0.1%
2000	2	0.1%
99366	2	0.1%
30000	2	0.1%
Other values (1393)	1397	64.2%
(Missing)	738	33.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	21	1.0%
5	1	< 0.1%
6	1	< 0.1%
13	1	< 0.1%
26	1	< 0.1%

Value	Count	Frequency (%)
33878254	1	< 0.1%
32780860	1	< 0.1%
32222402	1	< 0.1%
31123299	1	< 0.1%
29577902	1	< 0.1%

people_vaccinated
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1104
Distinct (%)	97.9%
Missing	1047
Missing (%)	48.1%
Infinite	0
Infinite (%)	0.0%

Mean	996184.6356
Minimum	0
Maximum	27154956
Zeros	4
Zeros (%)	0.2%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2586.45
Q1	26310.5
median	131923
Q3	567644.5
95-th percentile	4593472
Maximum	27154956
Range	27154956
Interquartile range (IQR)	541334

Descriptive statistics

Standard deviation	3002410.852
Coefficient of variation (CV)	3.013910017
Kurtosis	37.1187987
Mean	996184.6356
Median Absolute Deviation (MAD)	119614.5
Skewness	5.698532561
Sum	1123696269
Variance	9.014470926 × 10¹²
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24773	10	0.5%
0	4	0.2%
2174	3	0.1%
11073	2	0.1%
7017	2	0.1%
56764	2	0.1%
45707	2	0.1%
12866	2	0.1%
5847	2	0.1%
11743	2	0.1%
Other values (1094)	1097	50.4%
(Missing)	1047	48.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	0.2%
5	1	< 0.1%
13	1	< 0.1%
26	1	< 0.1%
52	1	< 0.1%

Value	Count	Frequency (%)
27154956	1	< 0.1%
26440836	1	< 0.1%
26023153	1	< 0.1%
25201143	1	< 0.1%
24064165	1	< 0.1%

people_fully_vaccinated
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	571
Distinct (%)	91.8%
Missing	1553
Missing (%)	71.4%
Infinite	0
Infinite (%)	0.0%

Mean	226682.8746
Minimum	1
Maximum	6436931
Zeros	0
Zeros (%)	0.0%
Memory size	17.1 KiB

Quantile statistics

Minimum	1
5-th percentile	314.9
Q1	4537.25
median	17929
Q3	107794.5
95-th percentile	877724.05
Maximum	6436931
Range	6436930
Interquartile range (IQR)	103257.25

Descriptive statistics

Standard deviation	714811.6473
Coefficient of variation (CV)	3.153355315
Kurtosis	37.88514871
Mean	226682.8746
Median Absolute Deviation (MAD)	16242
Skewness	5.770907329
Sum	140996748
Variance	5.109556912 × 10¹¹
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250000	24	1.1%
750	4	0.2%
1919	4	0.2%
2	3	0.1%
31314	3	0.1%
2669	3	0.1%
8360	3	0.1%
9202	3	0.1%
8364	3	0.1%
712	2	0.1%
Other values (561)	570	26.2%
(Missing)	1553	71.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	3	0.1%
5	2	0.1%
6	1	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
6436931	1	< 0.1%
6064792	1	< 0.1%
5927847	1	< 0.1%
5657142	1	< 0.1%
5259693	1	< 0.1%

daily_vaccinations_raw
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1114
Distinct (%)	95.4%
Missing	1007
Missing (%)	46.3%
Infinite	0
Infinite (%)	0.0%

Mean	61725.84075
Minimum	0
Maximum	1693241
Zeros	6
Zeros (%)	0.3%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	174.6
Q1	1798
median	9541.5
Q3	50325
95-th percentile	286385.35
Maximum	1693241
Range	1693241
Interquartile range (IQR)	48527

Descriptive statistics

Standard deviation	169066.3617
Coefficient of variation (CV)	2.738988398
Kurtosis	43.04503162
Mean	61725.84075
Median Absolute Deviation (MAD)	8830
Skewness	5.954800288
Sum	72095782
Variance	2.858343465 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6	0.3%
534	5	0.2%
1	4	0.2%
3000	3	0.1%
930	3	0.1%
20140	3	0.1%
924	3	0.1%
8	3	0.1%
1163	3	0.1%
604	2	0.1%
Other values (1104)	1133	52.1%
(Missing)	1007	46.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.3%
1	4	0.2%
3	1	< 0.1%
4	2	0.1%
6	2	0.1%

Value	Count	Frequency (%)
1693241	1	< 0.1%
1690979	1	< 0.1%
1561585	1	< 0.1%
1545397	1	< 0.1%
1541048	1	< 0.1%

daily_vaccinations
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1734
Distinct (%)	82.7%
Missing	78
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%

Mean	50159.77682
Minimum	1
Maximum	1355451
Zeros	0
Zeros (%)	0.0%
Memory size	17.1 KiB

Quantile statistics

Minimum	1
5-th percentile	224
Q1	1358
median	5872
Q3	24625
95-th percentile	257204.6
Maximum	1355451
Range	1355450
Interquartile range (IQR)	23267

Descriptive statistics

Standard deviation	145797.9113
Coefficient of variation (CV)	2.906669857
Kurtosis	34.90511203
Mean	50159.77682
Median Absolute Deviation (MAD)	5242
Skewness	5.462772433
Sum	105185052
Variance	2.125703095 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1121	30	1.4%
3000	22	1.0%
63	21	1.0%
126	19	0.9%
187500	16	0.7%
62	14	0.6%
240	11	0.5%
13200	10	0.5%
3357	8	0.4%
2199	8	0.4%
Other values (1724)	1938	89.1%
(Missing)	78	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
6	1	< 0.1%
26	1	< 0.1%
30	1	< 0.1%
36	1	< 0.1%

Value	Count	Frequency (%)
1355451	1	< 0.1%
1324949	1	< 0.1%
1319981	1	< 0.1%
1317946	1	< 0.1%
1291416	1	< 0.1%

total_vaccinations_per_hundred
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	592
Distinct (%)	41.2%
Missing	738
Missing (%)	33.9%
Infinite	0
Infinite (%)	0.0%

Mean	3.815351427
Minimum	0
Maximum	60.14
Zeros	48
Zeros (%)	2.2%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.018
Q1	0.36
median	1.37
Q3	3.24
95-th percentile	17.214
Maximum	60.14
Range	60.14
Interquartile range (IQR)	2.88

Descriptive statistics

Standard deviation	7.500090257
Coefficient of variation (CV)	1.965766562
Kurtosis	19.25180801
Mean	3.815351427
Median Absolute Deviation (MAD)	1.17
Skewness	4.022725824
Sum	5482.66
Variance	56.25135386
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	48	2.2%
0.01	24	1.1%
0.05	16	0.7%
0.04	15	0.7%
0.03	14	0.6%
0.02	14	0.6%
0.06	12	0.6%
0.19	11	0.5%
0.07	11	0.5%
0.1	11	0.5%
Other values (582)	1261	58.0%
(Missing)	738	33.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	48	2.2%
0.01	24	1.1%
0.02	14	0.6%
0.03	14	0.6%
0.04	15	0.7%

Value	Count	Frequency (%)
60.14	1	< 0.1%
58.9	1	< 0.1%
57.74	1	< 0.1%
56.39	1	< 0.1%
54.87	1	< 0.1%

people_vaccinated_per_hundred
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	523
Distinct (%)	46.4%
Missing	1047
Missing (%)	48.1%
Infinite	0
Infinite (%)	0.0%

Mean	3.86233156
Minimum	0
Maximum	38.8
Zeros	25
Zeros (%)	1.1%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.03
Q1	0.4275
median	1.58
Q3	3.18
95-th percentile	19.243
Maximum	38.8
Range	38.8
Interquartile range (IQR)	2.7525

Descriptive statistics

Standard deviation	6.711845953
Coefficient of variation (CV)	1.737770528
Kurtosis	10.01915225
Mean	3.86233156
Median Absolute Deviation (MAD)	1.22
Skewness	3.08606387
Sum	4356.71
Variance	45.0488761
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	25	1.1%
0.01	20	0.9%
0.49	15	0.7%
0.07	12	0.6%
0.3	11	0.5%
0.05	11	0.5%
0.31	10	0.5%
0.13	10	0.5%
0.04	10	0.5%
0.03	9	0.4%
Other values (513)	995	45.7%
(Missing)	1047	48.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	25	1.1%
0.01	20	0.9%
0.02	9	0.4%
0.03	9	0.4%
0.04	10	0.5%

Value	Count	Frequency (%)
38.8	1	< 0.1%
38.51	1	< 0.1%
38.25	1	< 0.1%
38.19	2	0.1%
38.11	1	< 0.1%

people_fully_vaccinated_per_hundred
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	153
Distinct (%)	24.6%
Missing	1553
Missing (%)	71.4%
Infinite	0
Infinite (%)	0.0%

Mean	0.899244373
Minimum	0
Maximum	22.03
Zeros	39
Zeros (%)	1.8%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.05
median	0.235
Q3	0.7575
95-th percentile	2.53
Maximum	22.03
Range	22.03
Interquartile range (IQR)	0.7075

Descriptive statistics

Standard deviation	2.645650076
Coefficient of variation (CV)	2.942081324
Kurtosis	39.55739567
Mean	0.899244373
Median Absolute Deviation (MAD)	0.225
Skewness	6.093568272
Sum	559.33
Variance	6.999464323
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	39	1.8%
0.01	34	1.6%
0.02	33	1.5%
0.04	29	1.3%
2.53	24	1.1%
0.05	24	1.1%
0.07	21	1.0%
0.03	15	0.7%
0.1	14	0.6%
0.78	11	0.5%
Other values (143)	378	17.4%
(Missing)	1553	71.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39	1.8%
0.01	34	1.6%
0.02	33	1.5%
0.03	15	0.7%
0.04	29	1.3%

Value	Count	Frequency (%)
22.03	1	< 0.1%
21.47	1	< 0.1%
21.13	1	< 0.1%
20.74	1	< 0.1%
20.07	1	< 0.1%

daily_vaccinations_per_million
Real number (ℝ_≥0)

MISSING

Distinct	1326
Distinct (%)	63.2%
Missing	78
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%

Mean	1777.1464
Minimum	0
Maximum	30869
Zeros	2
Zeros (%)	0.1%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	48
Q1	298
median	797
Q3	1431
95-th percentile	6606.2
Maximum	30869
Range	30869
Interquartile range (IQR)	1133

Descriptive statistics

Standard deviation	3388.462636
Coefficient of variation (CV)	1.906687393
Kurtosis	22.48705863
Mean	1777.1464
Median Absolute Deviation (MAD)	535
Skewness	4.352071836
Sum	3726676
Variance	11481679.04
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
262	31	1.4%
347	25	1.1%
185	22	1.0%
3211	20	0.9%
130	16	0.7%
48	13	0.6%
99	12	0.6%
47	10	0.5%
1	10	0.5%
68	9	0.4%
Other values (1316)	1929	88.7%
(Missing)	78	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	0.1%
1	10	0.5%
2	7	0.3%
3	3	0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
30869	1	< 0.1%
30424	1	< 0.1%
29266	1	< 0.1%
28465	1	< 0.1%
27990	1	< 0.1%

vaccines
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	17.1 KiB

Pfizer/BioNTech	1019
Moderna, Pfizer/BioNTech	543
Oxford/AstraZeneca, Pfizer/BioNTech	246
Pfizer/BioNTech, Sinopharm	73
Sputnik V	69
Other values (9)	225

Length

Max length	37
Median length	15
Mean length	20.19494253
Min length	7

Characters and Unicode

Total characters	43924
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sputnik V
2nd row	Sputnik V
3rd row	Pfizer/BioNTech
4th row	Pfizer/BioNTech
5th row	Pfizer/BioNTech

Value	Count	Frequency (%)
Pfizer/BioNTech	1019	46.9%
Moderna, Pfizer/BioNTech	543	25.0%
Oxford/AstraZeneca, Pfizer/BioNTech	246	11.3%
Pfizer/BioNTech, Sinopharm	73	3.4%
Sputnik V	69	3.2%
CNBG, Sinovac	48	2.2%
Sinovac	45	2.1%
Oxford/AstraZeneca, Sinopharm	28	1.3%
Pfizer/BioNTech, Sinopharm, Sputnik V	27	1.2%
Oxford/AstraZeneca	22	1.0%
Other values (4)	55	2.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
pfizer/biontech	1917	57.9%
moderna	543	16.4%
oxford/astrazeneca	335	10.1%
sinopharm	135	4.1%
sinovac	121	3.7%
v	96	2.9%
sputnik	96	2.9%
cnbg	48	1.4%
covaxin	20	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	5047	11.5%
i	4206	9.6%
r	3265	7.4%
o	3071	7.0%
c	2373	5.4%
f	2252	5.1%
/	2252	5.1%
h	2052	4.7%
B	1965	4.5%
N	1965	4.5%
Other values (24)	15476	35.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29620	67.4%
Uppercase Letter	9876	22.5%
Other Punctuation	3292	7.5%
Space Separator	1136	2.6%

Most frequent character per category

Value	Count	Frequency (%)
e	5047	17.0%
i	4206	14.2%
r	3265	11.0%
o	3071	10.4%
c	2373	8.0%
f	2252	7.6%
h	2052	6.9%
z	1917	6.5%
a	1489	5.0%
n	1250	4.2%
Other values (9)	2698	9.1%

Value	Count	Frequency (%)
B	1965	19.9%
N	1965	19.9%
P	1917	19.4%
T	1917	19.4%
M	543	5.5%
S	352	3.6%
O	335	3.4%
A	335	3.4%
Z	335	3.4%
V	96	1.0%
Other values (2)	116	1.2%

Value	Count	Frequency (%)
/	2252	68.4%
,	1040	31.6%

Value	Count	Frequency (%)
	1136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39496	89.9%
Common	4428	10.1%

Most frequent character per script

Value	Count	Frequency (%)
e	5047	12.8%
i	4206	10.6%
r	3265	8.3%
o	3071	7.8%
c	2373	6.0%
f	2252	5.7%
h	2052	5.2%
B	1965	5.0%
N	1965	5.0%
P	1917	4.9%
Other values (21)	11383	28.8%

Value	Count	Frequency (%)
/	2252	50.9%
	1136	25.7%
,	1040	23.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43924	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	5047	11.5%
i	4206	9.6%
r	3265	7.4%
o	3071	7.0%
c	2373	5.4%
f	2252	5.1%
/	2252	5.1%
h	2052	4.7%
B	1965	4.5%
N	1965	4.5%
Other values (24)	15476	35.2%

source_name
Categorical

HIGH CORRELATION

Distinct	47
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	17.1 KiB

Ministry of Health	645
Government of the United Kingdom	246
National Health Commission	88
National Health Service	76
Government of Israel	47
Other values (42)	1073

Length

Max length	59
Median length	21
Mean length	25.94804598
Min length	9

Characters and Unicode

Total characters	56437
Distinct characters	49
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.3%

Sample

1st row	Ministry of Health
2nd row	Ministry of Health
3rd row	Government of Andorra
4th row	Government of Andorra
5th row	Government of Andorra

Value	Count	Frequency (%)
Ministry of Health	645	29.7%
Government of the United Kingdom	246	11.3%
National Health Commission	88	4.0%
National Health Service	76	3.5%
Government of Israel	47	2.2%
Government of Canada	47	2.2%
Centers for Disease Control and Prevention	46	2.1%
Secretary of Health	42	1.9%
Department of Statistics and Health Information	42	1.9%
Federal Office of Public Health	40	1.8%
Other values (37)	856	39.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
of	1470	17.9%
health	1255	15.3%
ministry	645	7.9%
government	545	6.6%
national	320	3.9%
the	317	3.9%
kingdom	246	3.0%
united	246	3.0%
public	223	2.7%
and	182	2.2%
Other values (80)	2751	33.5%

Most occurring characters

Value	Count	Frequency (%)
	6025	10.7%
e	5183	9.2%
t	5080	9.0%
n	4545	8.1%
i	4116	7.3%
o	3913	6.9%
a	3502	6.2%
r	2885	5.1%
l	2205	3.9%
f	1841	3.3%
Other values (39)	17142	30.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44196	78.3%
Space Separator	6025	10.7%
Uppercase Letter	5994	10.6%
Decimal Number	122	0.2%
Dash Punctuation	61	0.1%
Other Punctuation	39	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	5183	11.7%
t	5080	11.5%
n	4545	10.3%
i	4116	9.3%
o	3913	8.9%
a	3502	7.9%
r	2885	6.5%
l	2205	5.0%
f	1841	4.2%
s	1812	4.1%
Other values (13)	9114	20.6%

Value	Count	Frequency (%)
H	1326	22.1%
M	691	11.5%
G	574	9.6%
S	443	7.4%
I	418	7.0%
C	385	6.4%
N	365	6.1%
P	314	5.2%
K	284	4.7%
U	246	4.1%
Other values (11)	948	15.8%

Value	Count	Frequency (%)
1	61	50.0%
9	61	50.0%

Value	Count	Frequency (%)
	6025	100.0%

Value	Count	Frequency (%)
-	61	100.0%

Value	Count	Frequency (%)
,	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50190	88.9%
Common	6247	11.1%

Most frequent character per script

Value	Count	Frequency (%)
e	5183	10.3%
t	5080	10.1%
n	4545	9.1%
i	4116	8.2%
o	3913	7.8%
a	3502	7.0%
r	2885	5.7%
l	2205	4.4%
f	1841	3.7%
s	1812	3.6%
Other values (34)	15108	30.1%

Value	Count	Frequency (%)
	6025	96.4%
-	61	1.0%
1	61	1.0%
9	61	1.0%
,	39	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56437	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	6025	10.7%
e	5183	9.2%
t	5080	9.0%
n	4545	8.1%
i	4116	7.3%
o	3913	6.9%
a	3502	6.2%
r	2885	5.1%
l	2205	3.9%
f	1841	3.3%
Other values (39)	17142	30.4%

source_website
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	74
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	17.1 KiB

https://coronavirus.data.gov.uk/details/healthcare	246
http://english.www.gov.cn/news/topnews/202101/31/content_WS6016a596c6d0f72576944df7.html	48
https://datadashboard.health.gov.il/COVID-19/general	47
https://health-infobase.canada.ca/covid-19/vaccination-coverage/	47
https://covid.cdc.gov/covid-data-tracker/#vaccinations	46
Other values (69)	1741

Length

Max length	211
Median length	65
Mean length	74.86804598
Min length	20

Characters and Unicode

Total characters	162838
Distinct characters	69
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.3%

Sample

1st row	https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne
2nd row	https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne
3rd row	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
4th row	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
5th row	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra

Value	Count	Frequency (%)
https://coronavirus.data.gov.uk/details/healthcare	246	11.3%
http://english.www.gov.cn/news/topnews/202101/31/content_WS6016a596c6d0f72576944df7.html	48	2.2%
https://datadashboard.health.gov.il/COVID-19/general	47	2.2%
https://health-infobase.canada.ca/covid-19/vaccination-coverage/	47	2.2%
https://covid.cdc.gov/covid-data-tracker/#vaccinations	46	2.1%
https://twitter.com/MOH_Bahrain/status/1357071460129517568	43	2.0%
https://informesdeis.minsal.cl/SASVisualAnalytics/?reportUri=%2Freports%2Freports%2F1a8cc7ff-7df0-474f-a147-929ee45d1900&sectionIndex=0&sso_guest=true&reportViewOnly=true&reportContextBar=false&sas-welcome=false	42	1.9%
https://www.gob.mx/salud/prensa/version-estenografica-conferencia-de-prensa-informe-diario-sobre-coronavirus-covid-19-en-mexico-262965?idiom=es	42	1.9%
https://www.covid19.admin.ch/en/epidemiologic/vacc-doses	40	1.8%
https://www.swissinfo.ch/spa/coronavirus-costa-rica_costa-rica-ha-aplicado-57.701-vacunas-contra-la-covid-19/46336712	40	1.8%
Other values (64)	1534	70.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
https://coronavirus.data.gov.uk/details/healthcare	246	11.3%
http://english.www.gov.cn/news/topnews/202101/31/content_ws6016a596c6d0f72576944df7.html	48	2.2%
https://health-infobase.canada.ca/covid-19/vaccination-coverage	47	2.2%
https://datadashboard.health.gov.il/covid-19/general	47	2.2%
https://covid.cdc.gov/covid-data-tracker/#vaccinations	46	2.1%
https://twitter.com/moh_bahrain/status/1357071460129517568	43	2.0%
https://informesdeis.minsal.cl/sasvisualanalytics/?reporturi=%2freports%2freports%2f1a8cc7ff-7df0-474f-a147-929ee45d1900&sectionindex=0&sso_guest=true&reportviewonly=true&reportcontextbar=false&sas-welcome=false	42	1.9%
https://www.gob.mx/salud/prensa/version-estenografica-conferencia-de-prensa-informe-diario-sobre-coronavirus-covid-19-en-mexico-262965?idiom=es	42	1.9%
https://www.swissinfo.ch/spa/coronavirus-costa-rica_costa-rica-ha-aplicado-57.701-vacunas-contra-la-covid-19/46336712	40	1.8%
https://www.covid19.admin.ch/en/epidemiologic/vacc-doses	40	1.8%
Other values (64)	1534	70.5%

Most occurring characters

Value	Count	Frequency (%)
t	12351	7.6%
a	11484	7.1%
/	10681	6.6%
s	9775	6.0%
o	9227	5.7%
e	8925	5.5%
i	8853	5.4%
-	7342	4.5%
c	6804	4.2%
n	6203	3.8%
Other values (59)	71193	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119994	73.7%
Other Punctuation	18496	11.4%
Decimal Number	13942	8.6%
Dash Punctuation	7342	4.5%
Uppercase Letter	2427	1.5%
Connector Punctuation	335	0.2%
Math Symbol	302	0.2%

Most frequent character per category

Value	Count	Frequency (%)
t	12351	10.3%
a	11484	9.6%
s	9775	8.1%
o	9227	7.7%
e	8925	7.4%
i	8853	7.4%
c	6804	5.7%
n	6203	5.2%
r	6139	5.1%
d	5304	4.4%
Other values (16)	34929	29.1%

Value	Count	Frequency (%)
O	308	12.7%
C	234	9.6%
I	209	8.6%
V	189	7.8%
A	185	7.6%
S	139	5.7%
B	129	5.3%
F	126	5.2%
P	126	5.2%
M	117	4.8%
Other values (12)	665	27.4%

Value	Count	Frequency (%)
1	2574	18.5%
9	1973	14.2%
0	1766	12.7%
2	1382	9.9%
3	1235	8.9%
6	1166	8.4%
4	1103	7.9%
5	1059	7.6%
7	978	7.0%
8	706	5.1%

Value	Count	Frequency (%)
/	10681	57.7%
.	5120	27.7%
:	2175	11.8%
&	210	1.1%
%	126	0.7%
?	92	0.5%
#	85	0.5%
,	7	< 0.1%

Value	Count	Frequency (%)
-	7342	100.0%

Value	Count	Frequency (%)
_	335	100.0%

Value	Count	Frequency (%)
=	302	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	122421	75.2%
Common	40417	24.8%

Most frequent character per script

Value	Count	Frequency (%)
t	12351	10.1%
a	11484	9.4%
s	9775	8.0%
o	9227	7.5%
e	8925	7.3%
i	8853	7.2%
c	6804	5.6%
n	6203	5.1%
r	6139	5.0%
d	5304	4.3%
Other values (38)	37356	30.5%

Value	Count	Frequency (%)
/	10681	26.4%
-	7342	18.2%
.	5120	12.7%
1	2574	6.4%
:	2175	5.4%
9	1973	4.9%
0	1766	4.4%
2	1382	3.4%
3	1235	3.1%
6	1166	2.9%
Other values (11)	5003	12.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	162838	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	12351	7.6%
a	11484	7.1%
/	10681	6.6%
s	9775	6.0%
o	9227	5.7%
e	8925	5.5%
i	8853	5.4%
-	7342	4.5%
c	6804	4.2%
n	6203	3.8%
Other values (59)	71193	43.7%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	country	iso_code	date	total_vaccinations	people_vaccinated	people_fully_vaccinated	daily_vaccinations_raw	daily_vaccinations	total_vaccinations_per_hundred	people_vaccinated_per_hundred	people_fully_vaccinated_per_hundred	daily_vaccinations_per_million	vaccines	source_name	source_website
0	Algeria	DZA	2021-01-29	0.0	NaN	NaN	NaN	NaN	0.00	NaN	NaN	NaN	Sputnik V	Ministry of Health	https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne
1	Algeria	DZA	2021-01-30	30.0	NaN	NaN	30.0	30.0	0.00	NaN	NaN	1.0	Sputnik V	Ministry of Health	https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne
2	Andorra	AND	2021-01-25	576.0	576.0	NaN	NaN	NaN	0.75	0.75	NaN	NaN	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
3	Andorra	AND	2021-01-26	NaN	NaN	NaN	NaN	66.0	NaN	NaN	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
4	Andorra	AND	2021-01-27	NaN	NaN	NaN	NaN	66.0	NaN	NaN	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
5	Andorra	AND	2021-01-28	NaN	NaN	NaN	NaN	66.0	NaN	NaN	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
6	Andorra	AND	2021-01-29	NaN	NaN	NaN	NaN	66.0	NaN	NaN	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
7	Andorra	AND	2021-01-30	NaN	NaN	NaN	NaN	66.0	NaN	NaN	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
8	Andorra	AND	2021-01-31	NaN	NaN	NaN	NaN	66.0	NaN	NaN	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra
9	Andorra	AND	2021-02-01	1036.0	1036.0	NaN	NaN	66.0	1.34	1.34	NaN	854.0	Pfizer/BioNTech	Government of Andorra	https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra

Last rows

	country	iso_code	date	total_vaccinations	people_vaccinated	people_fully_vaccinated	daily_vaccinations_raw	daily_vaccinations	total_vaccinations_per_hundred	people_vaccinated_per_hundred	people_fully_vaccinated_per_hundred	daily_vaccinations_per_million	vaccines	source_name	source_website
2165	Wales	NaN	2021-01-24	271376.0	270833.0	543.0	6322.0	17063.0	8.61	8.59	0.02	5412.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2166	Wales	NaN	2021-01-25	290147.0	289566.0	581.0	18771.0	18279.0	9.20	9.18	0.02	5798.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2167	Wales	NaN	2021-01-26	312944.0	312305.0	639.0	22797.0	19537.0	9.93	9.91	0.02	6197.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2168	Wales	NaN	2021-01-27	336745.0	336071.0	674.0	23801.0	20845.0	10.68	10.66	0.02	6611.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2169	Wales	NaN	2021-01-28	362970.0	362253.0	717.0	26225.0	21463.0	11.51	11.49	0.02	6807.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2170	Wales	NaN	2021-01-29	378950.0	378200.0	750.0	15980.0	19705.0	12.02	12.00	0.02	6250.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2171	Wales	NaN	2021-01-30	404249.0	403463.0	786.0	25299.0	19885.0	12.82	12.80	0.02	6307.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2172	Wales	NaN	2021-01-31	417147.0	416306.0	841.0	12898.0	20824.0	13.23	13.20	0.03	6605.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2173	Wales	NaN	2021-02-01	440706.0	439640.0	1066.0	23559.0	21508.0	13.98	13.94	0.03	6822.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare
2174	Wales	NaN	2021-02-02	463657.0	462497.0	1160.0	22951.0	21530.0	14.71	14.67	0.04	6829.0	Oxford/AstraZeneca, Pfizer/BioNTech	Government of the United Kingdom	https://coronavirus.data.gov.uk/details/healthcare

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows